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what we do

Agent Infrastructure & Deployment

The runtime, gateways, queues, and observability that keep agents running after the demo.

The problem

A prototype agent runs on a laptop with one API key and a person watching it. Production is rate limits, retries, partial failures, secret rotation, spend that can run away overnight, and nobody watching at 3am.

This is the layer most teams underestimate, and it is the reason agents stall between “it works” and “it’s live.”

What we build

  • An agent runtime deployed to your cloud: gateway, workers, and job queues.
  • Retry, backoff, and idempotency so a failed step doesn't corrupt state or double-spend.
  • Secrets management, per-agent credentials, and network isolation.
  • Tracing, structured logs, and cost / quality dashboards.
  • Spend caps and kill switches, wired in before launch.
  • Everything as infrastructure as code, with a rollback path.

How it works

  1. Pick the runtime and topology for your workload — always-on gateway, or queue-and-worker for batch.
  2. Provision it as code in your account.
  3. Wire observability, spend caps, and alerts.
  4. Load-test against real traffic shapes, then cut over with rollback ready.

What you get

  • Running agent infrastructure in your cloud account.
  • Infrastructure-as-code repository and runbooks.
  • Dashboards, alerts, and an on-call handover doc.

Run it your way

Every build ships one of two ways. Most engagements start managed and move in-house once the team is ready — some stay managed for good.

Self-hosted

Runs in your own cloud account — AWS, GCP, or Azure. Your keys, your data boundary, your network. We provision it as infrastructure as code, configure it, and hand over the repository and runbooks. Your team operates it; we’re on call if you want us to be.

Managed by TaskBreaker

We run it in our infrastructure. You get an endpoint and an SLA. We own upgrades, patching, monitoring, spend caps, and on-call. It’s the fastest path to production and the least for your team to carry.

how we build
  • OpenClaw's gateway daemon (Node.js) for always-on, channel-connected agents; queue + worker runtimes on a managed queue and event bus (SQS / EventBridge or equivalents) for background jobs.
  • Usually AWS — Lambda, ECS / Fargate, SQS, EventBridge, Secrets Manager, CloudWatch — with GCP and Azure as first-class alternatives on the same architecture.
  • Terraform, or the platform's native IaC, for everything; nothing click-configured.
See the full stack →
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